Physical AI Meets the Power Grid
Utilities and data centres are running into the same problem. Power demand is surging, the grid is aging, and replacement equipment can take years to arrive.
In this episode of FuturePulse, Joseph Kao, CEO and co-founder of Magnefy, explains how physical AI and IoT sensing can help field engineers catch faults before they happen. A former materials scientist at Apple, Joseph shares:
• Why maintenance still relies on manual checklists, and how continuous monitoring can cut turnaround by 70-80%
• How the data centre boom and aging infrastructure are stressing the grid
• Why more than 60-70% of US transformers are reaching end of life, with replacement lead times of 5-7 years
• What Magnefy learned from its first pilot in Manitoba, Canada
• Where physical AI in energy is heading over the next five years
FuturePulse is a podcast diving into the world of innovation and technology, with conversations with executives and founders shaping the future of AI and physical AI. Hosted by Melica, founder of Skilltorch, a global AI tech recruitment company partnering with early-stage startups in physical AI.